Beginner Lessons

17. Thin Film Deposition and Epitaxy - Introduction to CVD, Si Epitaxial Growth

14. Transient Enhanced Diffusion (TED) - +1 Model, (311) Defects and TED Introduction

Lecture 1: Introduction for Direct Solar/Thermal to Electrical Energy Conversion Technologies

Robust Science with Prof. Rebecca Saxe

Lecture 2: Strings, Input/Output, and Branching

What's Worth Making? with Prof. Hal Abelson

Everything Here is Sacred (Terrascope Radio Replay)

The Power of Experience with Dr. Ari Epstein

OCW Learning Journeys: Michael's Story

Economics and Real World Impact with Dr. Sara Ellison & Prof. Esther Duflo

Lecture 1: Introduction to Thermodynamics

Lecture 20: Introduction to Binary Phase Diagrams

OCW Learning Journeys: Jae-Min's Story #Chemistry #Thermodynamics #Physics #Science #MIT

OCW Learning Journeys: Emmanuel's Story #ArtificialIIntelligence #AI #Psychology #AnimalBehavior

Introduction to GIS, Part I: Key Concepts

Introduction to R, Part III: Linear and Mixed Models in R

Introduction to R, Part I: Interface and Data Structures

Introduction to GIS, Part V: Extract Information from Maps using Spatial Data Points

Introduction to R, Part IV: Loops and Functions

Introduction to GIS, Part II: Vectorial Maps, Raster Maps, and Time Series

Introduction to GIS, Part IV: Stack, Brick, Crop, and Mask

Introduction to GIS, Part VI: Plotting Maps with ggplot2

Introduction to R, Part II: Playing with the Data

Lecture 12: List Comprehension, Functions as Objects, Testing, and Debugging

Lecture 6: Bisection Search

Lecture 10: Lists and Mutability

OCW Learning Journeys: Maria's Story #MIT #Calculus #STEM #Brazil #OpenEducation #MedicalSchool

Lecture 14: Dictionaries

Lecture 3: Iteration

Lecture 16: Recursion on Non-numerics

Lecture 21: Timing Programs and Counting Operations

Lecture 25: Plotting

Lecture 23: Complexity Classes Examples

Lecture 1: Introduction to CS and Programming Using Python

Lecture 4: Loops over Strings, Guess-and-Check, and Binary

Lecture 22: Big Oh and Theta

Lecture 19: Inheritance

Lecture 11: Aliasing and Cloning

Lecture 17: Python Classes

Lecture 9: Lambda Functions, Tuples, and Lists

Lecture 5: Floats and Approximation Methods

Lecture 15: Recursion

Lecture 24: Sorting Algorithms

Lecture 26: List Access, Hashing, Simulations, and Wrap-Up

Lecture 18: More Python Class Methods

Lecture 8: Functions as Objects

Lecture 20: Fitness Tracker Object-Oriented Programming Example

Lecture 7: Decomposition, Abstraction, and Functions